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Search results for monte carlo
monte-carlo
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363 search results found
Stock Prediction Models
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6,233
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Finquant
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1,061
A program for financial portfolio management, analysis and optimisation.
C Ray
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743
c-ray is a small, simple path tracer written in C
Hanabi Learning Environment
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597
hanabi_learning_environment is a research platform for Hanabi experiments.
Hands On Reinforcement Learning With Python
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596
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Bda_r_demos
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538
Bayesian Data Analysis demos for R
Awesome Monte Carlo Tree Search Papers
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537
A curated list of Monte Carlo tree search papers with implementations.
Monte Carlo Tree Search
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439
Monte carlo tree search in python
Particles
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351
Sequential Monte Carlo in python
Dynesty
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323
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
Alpha Zero Gomoku
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303
A Multi-threaded Implementation of AlphaZero
Ebisu
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289
Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)
Ashes
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286
WebGL2.0 3D Engine - Global Illumination - RayTracing
Bark
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265
Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving
Examples
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265
Fortran and Python examples to accompany the book "Computer Simulation of Liquids" by Michael P. Allen and Dominic J. Tildesley (2nd edition, Oxford University Press, 2017). Use the "Code" button, or follow the "Releases" link below.
Diffusion Classifier
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255
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
Montecarlomeasurements.jl
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247
Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
Dynamichmc.jl
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235
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Uqpy
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216
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
Hearthstone Ai
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202
A Hearthstone AI based on Monte Carlo tree search and neural nets written in modern C++.
Tensormol
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190
Tensorflow + Molecules = TensorMol
Pymultinest
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185
Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
L2hmc
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167
TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
Bcd
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158
Bayesian Collaborative Denoiser for Monte Carlo Rendering
Montecarlo.jl
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157
Classical and quantum Monte Carlo simulations in Julia
Overlap_localization
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155
chen2020iros: Learning an Overlap-based Observation Model for 3D LiDAR Localization.
Biosteam
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150
The Biorefinery Simulation and Techno-Economic Analysis Modules; Life Cycle Assessment; Chemical Process Simulation Under Uncertainty
Giraffe
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147
Distributed Monte Carlo Path Tracer 分布蒙特卡洛路径追踪器
Miragerender
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144
a 3D renderer written in C++
Monte Carlo Ray Tracer
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141
Physically based renderer with Path Tracing and Photon Mapping.
Samplinsafari
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139
Samplin' Safari is a research tool to visualize and interactively inspect high-dimensional (quasi) Monte Carlo samplers.
Alphax Nasbench101
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138
Neural Architecture Search using Deep Neural Network and Monte Carlo Tree Search
Mcts
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132
Python Implementations of Monte Carlo Tree Search
Mcts
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132
Board game AI implementations using Monte Carlo Tree Search
Path Tracer
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131
Simple monte carlo path tracer in C++
Drug Computing
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131
Educational materials for, and related to, UC Irvine's Drug Discovery Computing Techniques course (PharmSci 175/275), currently taught by David Mobley.
Volesti
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128
Practical volume computation and sampling in high dimensions
Monte Carlo Tree Search
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125
Monte Carlo Tree Search with UCT with a couple of example games.
Mcts
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122
An implementation of Monte Carlo Tree Search in python
Latticeqcd.jl
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120
A native Julia code for lattice QCD with dynamical fermions in 4 dimension.
Ultranest
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119
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
Proj_option_pricing_matlab
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115
Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader
Lumol
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113
Universal extensible molecular simulation engine
Paramonte
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112
ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.
Mcx
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105
Monte Carlo eXtreme (MCX) - GPU-accelerated photon transport simulator
Skpr
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103
Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mixture and split/split-split/N-split plot designs. Includes parametric and Monte Carlo power evaluation functions. Provides a framework to evaluate power using functions provided in other packages or written by the user.
Mabalgs
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100
👤 Multi-Armed Bandit Algorithms Library (MAB) 👮
Monte Carlo Tree Search
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95
Library for running a Monte Carlo tree search, either traditionally or with expert policies
Monte_carlo_ray_tracer
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90
A program with an implemented Monte Carlo Ray Tracer algorithm for global illumination of a virtual 3D scene.
Ogm2pgbm
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89
Robust BIM-based 2D-LiDAR Localization for Lifelong Indoor Navigation in Changing and Dynamic Environments
Pandas Montecarlo
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85
A lightweight Python library for running simple Monte Carlo Simulations on Pandas Series data
Machine Learning Numpy
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84
Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!
Aleatory
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83
📦 Python library for Stochastic Processes Simulation and Visualisation
Chemts
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82
Molecule Design using Monte Carlo Tree Search with Neural Rollout
Modelx
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82
Use Python like a spreadsheet!
Hitchhikersscatter
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76
Codebase to accompany the book: A Hitchhiker’s Guide to Multiple Scattering
Sobol.jl
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74
generation of Sobol low-discrepancy sequence (LDS) for the Julia language
Mcmd
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74
Monte Carlo and Molecular Dynamics Simulation Package
Gradient Mts
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74
A collection of gradient-domain light transport algorithms implemented with Mitsuba
Rl Course Experiments
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73
Alpha_sigma
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72
A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.
Mcts.jl
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70
Monte Carlo Tree Search for Markov decision processes using the POMDPs.jl framework
Marburg
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70
physics meets neural networks
Slitherin
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70
AI research environment for the game of Snake 🐍 .
Python Qinfer
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69
Library for Bayesian inference via sequential Monte Carlo for quantum parameter estimation.
Puzzle_cube
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66
Solving the Rubik's cube with deep reinforcement learning and Monte Carlo tree search
Mersenne Twister
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65
This Mersenne Twister is a fast pseudo-random number generator (PRNG) in C++
Monaco
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65
Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
L2hmc Qcd
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60
Application of the L2HMC algorithm to simulations in lattice QCD.
Gomc
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58
GOMC - GPU Optimized Monte Carlo is a parallel molecular simulation code designed for high-performance simulation of large systems
Sbmc
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57
Sample-based Monte Carlo Denoising using a Kernel-Splatting Network [Siggraph 2019]
Cpp Cfr
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55
C++ implementations of Counterfactual Regret Minimization and Monte Carlo CFR
Tiny Path
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54
An instructive one-file Ruby path tracer
Qmcsoftware
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51
Smol
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51
Statistical Mechanics on Lattices
Pomcpow.jl
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49
Online solver based on Monte Carlo tree search for POMDPs with continuous state, action, and observation spaces.
Celeritas
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49
Celeritas is a new Monte Carlo transport code designed for high-performance simulation of high-energy physics detectors.
Mcts Agent Python
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48
Monte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games and planning problems. In this project I used a board game called "HEX" as a platform to test different simulation strategies in MCTS field.
Serpent Tools
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48
A suite of parsers designed to make interacting with SERPENT output files simple and flawless
Nqcdynamics.jl
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48
Fast and flexible nonadiabatic molecular dynamics in Julia!
Ase_exploration
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47
Planning for robotic exploration based on forward simulation
Exproptimization.jl
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42
Algorithms for optimization of Julia expressions
Mpmc
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42
A Monte Carlo molecular simulation software especially suited for materials simulations with polarizable models
Mcts
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42
An Python N-in-Row game based on Monte Carlo Tree Search and UCT RAVE
Gdpy
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41
Generating Deep Potential with Python
Moer Lite
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41
面向教学的蒙特卡洛路径追踪(Monte Carlo Path Tracing)渲染框架
Mcts
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40
A simple Monte Carlo Tree Search library
Kmos
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40
kMC on steroids: A vigorous attempt to make lattice kinetic Monte Carlo modelling easier
Mc Tools
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39
Some Monte Carlo tools
Uct
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39
A bot that can play any two-player game, based on Monte-Carlo Tree Search (MCTS)
Mcs_kfold
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39
mcs_kfold stands for "monte carlo stratified k fold". This library attempts to achieve equal distribution of discrete/categorical variables in all folds. The greatest advantage of this method is that it can be applied to multi-dimensional targets.
Mcxcl
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39
Monte Carlo eXtreme for OpenCL (MCXCL)
Rebop
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38
Fast stochastic simulator for chemical reaction networks
Basic_pathtracer
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38
A basic GPU pathtracer in unity
Hamiltonian Monte Carlo
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37
Implementation of Hamiltonian Monte Carlo using Google's TensorFlow
Numcosmo
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37
NumCosmo main code
Bdmc
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37
PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo
Wobtoolbox
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37
Author's implementation of SIGGRAPH 2023 paper, "A Practical Walk-on-Boundary Method for Boundary Value Problems"
Gameai
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35
Various C# implementations of game AI
Variational Smc
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35
Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
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